Daniel van Strien
Impact in
- Conservation top 5%
- Digital and Traditional Archives Management
Papers in
-
- Research Data Management Practices 2
- Web Data Mining and Analysis 1
- Software Engineering Research 1
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- Geographic Information Systems Studies 3
- Co-authors
- Kasra Hosseini (5 shared papers)Giovanni Colavizza (2 shared papers)Kaspar Beelen (3 shared papers)Barbara McGillivray (2 shared papers)Nuno Freire (1 shared paper)James Baker (1 shared paper)Amrey Krause (1 shared paper)Ernesto Priego (1 shared paper)
- Journals
- Journal of Victorian Culture (1 paper)LIBER Quarterly The Journal of the Association of European Research Libraries (1 paper)UvA-DARE (University of Amsterdam) (1 paper)DH (1 paper)Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa) (1 paper)
- Partner nations
- United KingdomNetherlandsPortugal
In The Last Decade
Daniel van Strien
7 papers receiving 107 citations
Peers
Comparison fields: 5 of 49
- Conservation 19
- Space and Planetary Science 5
- Geography, Planning and Development 13
- Computer Vision and Pattern Recognition 44
- General Social Sciences 6
Countries citing papers authored by Daniel van Strien
This map shows the geographic impact of Daniel van Strien's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel van Strien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel van Strien more than expected).
Fields of papers citing papers by Daniel van Strien
This network shows the impact of papers produced by Daniel van Strien. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel van Strien. The network helps show where Daniel van Strien may publish in the future.
Co-authors
The 12 scholars most cited alongside Daniel van Strien, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 78 | |
| 2 | 2023 | 13 | |
| 3 | 2021 | 11 | |
| 4 | 2016 | 10 | |
| 5 | 2022 | 8 | |
| 6 | 2019 | 7 | |
| 7 | Using smart annotations to map the geography of newspapers. | 2020 | 2 |
| 8 | 2016 | 0 | |
| 9 | 2017 | 0 |
About Daniel van Strien
Daniel van Strien is a scholar working on Information Systems, Geography, Planning and Development, Computer Vision and Pattern Recognition, Information Systems and Management and Artificial Intelligence, having authored 9 papers that have together received 129 indexed citations. Recurring topics across this work include Geographic Information Systems Studies (3 papers), Research Data Management Practices (2 papers), Scientific Computing and Data Management (2 papers), Digital and Traditional Archives Management (1 paper), Web Data Mining and Analysis (1 paper), Image Processing and 3D Reconstruction (1 paper), Software Engineering Research (1 paper) and Handwritten Text Recognition Techniques (1 paper). The work is most often cited by research in Conservation (19 citations), Space and Planetary Science (5 citations), Geography, Planning and Development (13 citations), Computer Vision and Pattern Recognition (44 citations) and General Social Sciences (6 citations). Daniel van Strien has collaborated with scholars based in United Kingdom, Netherlands and Portugal. Frequent co-authors include Kasra Hosseini, Giovanni Colavizza, Kaspar Beelen, Barbara McGillivray, Nuno Freire, James Baker, Amrey Krause, Ernesto Priego, Greg Wilson and Jon Lawrence. Their work appears in journals such as Journal of Victorian Culture, LIBER Quarterly The Journal of the Association of European Research Libraries, UvA-DARE (University of Amsterdam), DH and Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.